Prof. Dr. Natal van Riel is Professor in Computational Modelling at the Academic Medical Center - University of Amsterdam (AMC - UvA) and Associate Professor in Systems Biology and Metabolic Diseases at the Department of Biomedical Engineering of the Eindhoven University of Technology (TU/e).
My research applies mathematical modelling and computation to study metabolic diseases, in particular Metabolic Syndrome and co-morbidities. Systems biology approaches are developed for
Expertise: Mathematical and statistical modeling, bioreactor models, dynamics of biological networks, dynamics and control of biological networks, parameter estimation, Reactor models, Mathematical modelling, Bioinformatics, Molecular Biology
Tools: continuous cultivation, evaluation of process dynamics, DIVA, differential algebraic equations, linux, Material balance based modeling, stimulus response experiments, Microarray analysis, Matlab, Linear equations, ODE, Single Cell analysis, SBML, Model organisms, Transcriptomics, Computational and theoretical biology, Bioinformatics
I'm an engineer at the MPI Magdeburg and I'm working in the field of mathematical modeling, model verification, parameter identification, model analysis and experimental design. I'm involved in two projects, KOsmoBac and PSYSMO.
My background is physics engineering & biomedical engineering. I did my PhD in Surrey on the modelling of response of mammalian cells to radiation of different qualities.
I have been working at the University of Aberdeen since November 2007 as a theoreticien research fellow of the KOSMOBAC project. We are investigating the homeostasis of ions in bacteria E. coli. I have been working at a model of the buffering capacity of the cytopplasm, arising from the presence of weak acids and bases. We
Tools: data modelling, Dynamic modelling, Computational Systems Biology, Stochastic models, C programming, differential algebraic equations, Mathematica, Matlab, ODE, Computational and theoretical biology
Modelling of cellular signalling, Dynamic Motifs and Feedback, Quantitative Measures, Theoretical Aspects of Modelling Biological Systems
Expertise: Systems Biology, sensitivity analysis, Dynamic optimization., Optimal experimental design, Mathematical modelling of biosystems and bioprocesses, parameter estimation, dynamics and control of biological networks
I am a postdoctoral researcher in the group of Julio Banga. My research is focused on computational systems biology with particular attention to the mathematical modelling of biosystems and bioprocesses. Some of the topics we address are:
- Parameter estimation
- Model identifiability
- Global sensitivity analysis
- Optimal experimental design
- Dynamic optimization
- Robust control of diffusion-reaction systems
Institutions: University of Rostock
Tools: quantitative western blot analysis, Stochastic models, quantitative western blot analyses, differential algebraic equations, stimulus response experiments, Mathematica, Matlab, ODE, Computational and theoretical biology